Pennsylvania Quakers
2022 Team Stats (9 games)
67.8
PPG
75.1
Opp
-3.2
Margin
42.7%
FG%
31.8%
3P%
66.7%
FT%
34.6
RPG
13.0
APG
13.6
TO
78.0
Pace
Model Outputs
2021-2022
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1144 (#175) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1136 (#207) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.1 (#185) | HCA +2.7 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.226 (#213) | NetEff -11.0 |
2022 Schedule & Results
2022 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Dingle
|
- | 10 | 30.8 | 20.8 | 3.8 | 2.1 | 0.5 | 0.0 | 3.2 | 13.9 | 10.1 | - | - | - | 45.3 | 35.4 | 71.9 | - | 67.9 | 53.6 |
C. Slajchert
|
- | 23 | 24.0 | 10.8 | 2.2 | 1.3 | 0.4 | 0.0 | 1.4 | 4.3 | 9.0 | - | - | - | 44.4 | 35.9 | 87.5 | - | 113.2 | 51.5 |
M. Martz
|
- | 22 | 29.4 | 9.7 | 5.1 | 1.0 | 0.6 | 0.4 | 0.6 | 3.5 | 12.6 | - | - | - | 42.3 | 30.2 | 62.5 | - | 130.6 | 50.6 |
J. Charles
|
- | 25 | 19.7 | 6.5 | 2.7 | 0.6 | 0.3 | 0.0 | 0.6 | 2.8 | 6.8 | 0 | 0.0 | 0.0 | 37.7 | 39.1 | 50.0 | 0.04 | 112.4 | 55.8 |
M. Moshkovitz
|
- | 26 | 22.5 | 5.3 | 4.8 | 2.9 | 1.0 | 0.4 | 1.3 | 2.0 | 11.1 | - | - | - | 37.3 | 10.0 | 50.0 | - | 127.7 | 38.2 |
George Smith
|
G | 23 | 20.3 | 5.2 | 2.7 | 1.0 | 0.6 | 0.1 | 0.7 | 1.3 | 7.6 | - | - | - | 31.0 | 15.4 | 72.7 | - | 175.8 | 34.5 |
Lorca-Lloyd, Max
|
- | 1 | 17.0 | 5.0 | 1.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | 7.0 | - | - | - | 100.0 | 0 | 60.0 | - | 78.1 | 100.0 |
L. Monroe
|
- | 11 | 14.4 | 4.8 | 3.6 | 0.7 | 0.1 | 0.4 | 1.1 | 2.2 | 6.4 | - | - | - | 62.5 | 0 | 61.1 | - | 83.0 | 62.5 |
M. Wang
|
F | 5 | 14.8 | 4.6 | 1.6 | 1.4 | 0.0 | 0.2 | 1.2 | 2.8 | 3.8 | - | - | - | 35.7 | 0.0 | 50.0 | - | 77.3 | 35.7 |
Jelani Williams
|
- | 8 | 26.2 | 4.1 | 3.6 | 2.4 | 1.1 | 0.2 | 1.6 | 4.8 | 5.1 | 47 | 1.2 | 2.2 | 31.6 | 20.0 | 46.2 | 1.94 | 37.7 | 35.5 |
Nick Spinoso
|
F | 20 | 11.1 | 3.5 | 2.5 | 0.9 | 0.1 | 0.2 | 1.1 | 1.6 | 4.7 | - | - | - | 51.5 | 80.0 | 53.8 | - | 91.7 | 57.6 |
J. Jones
|
F | 1 | 15.0 | 3.0 | 2.0 | 0.0 | 2.0 | 1.0 | 2.0 | 0.0 | 6.0 | 28 | 2.3 | 3.0 | 0 | 0 | 0 | 1.3 | 0 | 0 |
A. Laczkowski
|
- | 16 | 7.1 | 2.2 | 1.2 | 0.1 | 0.2 | 0.2 | 0.2 | 0.9 | 3.0 | - | - | - | 57.1 | 42.9 | 100.0 | - | 117.6 | 67.9 |
E. Holland III
|
- | 5 | 4.4 | 0.8 | 0.4 | 0.0 | 0.4 | 0.2 | 0.2 | 0.4 | 1.2 | 26 | 1.9 | 2.8 | 50.0 | 0 | 66.7 | 1.01 | 60.2 | 50.0 |
B. Washington
|
- | 6 | 3.3 | 0.7 | 0.8 | 0.3 | 0.0 | 0.2 | 0.3 | 0.7 | 1.0 | - | - | - | 25.0 | 0.0 | 100.0 | - | 41.0 | 25.0 |
G. Larson
|
- | 4 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | -0.2 | 20 | 1.8 | 5.4 | 0 | 0 | 0 | 0.68 | 0 | 0 |
M. Samberg
|
G | 2 | 7.5 | 0.0 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
G. Ryan
|
G | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
C. Chambers
|
- | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG